Using AI to improve radiotherapy planning for cervical and head and neck cancers
Official title: ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer
Funded at University College London · NIH-10690469 · Data updated 2026-11-12
This study is testing a new AI tool to make planning radiation treatment for cervical and head and neck cancers faster and easier, so patients can get the care they need more quickly, especially in places where resources are limited.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University College London NIH-funded |
| Lab location | 1 site (London, United Kingdom) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $430,737 |
| NIH project number | 5U01CA269143-02 |
| Project ID | NIH-10690469 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with cervical cancer or head and neck cancers, particularly those in low and middle-income countries.
✕Less likely to help
Patients with cancers other than cervical or head and neck cancers may not receive benefits from this research.
What this research studies
This research focuses on enhancing the efficiency and accuracy of radiotherapy planning for cervical and head and neck cancers using artificial intelligence (AI). The study aims to automate critical steps in the radiotherapy process, which currently involves labor-intensive tasks that can take weeks to complete. By implementing AI software, the goal is to reduce the planning time to less than a day, making treatment more accessible, especially in low and middle-income countries where resources are limited. The research will evaluate the quality and economic impact of this automated approach on a sample of 706 patients.
Why it matters
Potential benefit: If successful, this research could significantly improve access to timely and effective radiotherapy for patients with cervical and head and neck cancers.
How similar studies have gone: Other research has shown promising results in using AI for medical imaging and treatment planning, indicating potential success for this novel approach.
Where this research is happening
-
University College London
London, United Kingdom Active
Researchers
- Principal investigator: Aggarwal, Ajay — University College London
- Study coordinator: Aggarwal, Ajay
Related research
Other NIH-funded projects on the same topics.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A computer program helps plan radiation therapy for cervical and head-and-neck cancer patients to make treatments faster and more accurate.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A United Kingdom study is testing AI software that helps plan radiotherapy for cervical and head-and-neck cancer patients to save time and reduce the workload for clinicians in low-resource settings.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A UK research team is testing an AI-based software to automatically outline cancer areas and plan radiation beams to speed up treatment for cervical and head-and-neck cancers in LMICs.
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AI-Powered Radiotherapy Planning for Cervical and Head & Neck Cancer
A new AI tool helps plan radiation therapy for cervical and head-and-neck cancers to save time and reduce the need for specialized staff.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A UK study from University College London uses AI to plan radiotherapy for cervical and head-and-neck cancers to save time and reduce the need for specialized staff, aiming to help patients in LMICs.
-
AI-powered radiotherapy planning for cervical and head & neck cancer
A non-randomized study will test an AI system that helps plan radiotherapy for cervical and head & neck cancers to save time and resources in LMICs.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.